Proposals:Refactoring Statistics Framework 2007 Class Manifesto: Difference between revisions
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== Multivariate Density Functions == | == Multivariate Density Functions == | ||
<graphviz> | <graphviz> | ||
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DensityFunction [URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Statistics_1_1DensityFunction.html"]; | DensityFunction [URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Statistics_1_1DensityFunction.html"]; | ||
GaussianDensityFunction [URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Statistics_1_1GaussianDensityFunction.html"]; | GaussianDensityFunction [URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Statistics_1_1GaussianDensityFunction.html"]; | ||
DistanceToCentroidMembershipFunction [URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Statistics_1_1DistanceToCentroidMembershipFunction.html"]; | |||
MahalanobisDistanceMembershipFunction [URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Statistics_1_1DistanceToCentroidMembershipFunction.html"]; | |||
GoodnessOfFitFunctionBase [URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Statistics_1_1GoodnessOfFitFunctionBase.html"]; | |||
GoodnessOfFitMixtureModelCostFunction [URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Statistics_1_1GoodnessOfFitMixtureModelCostFunction.html"]; | |||
LogLikelihoodGoodnessOfFitFunction [URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Statistics_1_1LogLikelihoodGoodnessOfFitFunction.html"]; | |||
Object -> FunctionBase | Object -> FunctionBase | ||
Object -> GoodnessOfFitFunctionBase | |||
Object -> GoodnessOfFitComponentBase | |||
FunctionBase -> MembershipFunctionBase | FunctionBase -> MembershipFunctionBase | ||
MembershipFunctionBase -> DensityFunction | MembershipFunctionBase -> DensityFunction | ||
DensityFunction -> GaussianDensityFunction | DensityFunction -> GaussianDensityFunction | ||
MembershipFunctionBase -> MahalanobisDistanceMembershipFunction | |||
MembershipFunctionBase -> DistanceToCentroidMembershipFunction | |||
} | } | ||
</graphviz> | </graphviz> | ||
Revision as of 16:50, 2 April 2007
Statistics Class Manifesto
Summary Table
They are categorized in the following table
| Conceptual Class | Number |
|---|---|
| Measurement Containers | 8 |
| Frequency Containers | 2 |
| Process Objects | 2 |
| Traits | 1 |
| Mean shift | 3 |
| Adaptors | 5 |
| Univariate Distributions | 4 |
| Algorithms | 3 |
| Calculators | 6 |
| Generators | 12 |
| Filters | 10 |
| Multivariate Density Functions | 8 |
| Distance Metrics | 2 |
| Components | 4 |
| Estimators | 2 |
| Total | 72 |
List of Classes per Category
Measurement Containers
- KdTree
- Histogram
- VariableDimensionHistogram
- ListSampleBase
- ListSample
- Sample
- Subsample
- MembershipSample
Frequency Containers
- DenseFrequencyContainer
- SparseFrequencyContainer
Process Objects
- SampleClassifier
- SampleClassifierWithMask
Traits
- MeasurementVectorTraits
MeanShift
- HypersphereKernelMeanShiftModeSeeker
- MeanShiftModeCacheMethod
- MeanShiftModeSeekerBase
Adaptors
- ImageToCooccurrenceListAdaptor
- ImageToListAdaptor
- JointDomainImageToListAdaptor
- PointSetToListAdaptor
- ScalarImageToListAdaptor
Univariate Distributions
- ChiSquareDistribution
- GaussianDistribution
- ProbabilityDistribution
- TDistribution
Algorithms
- SampleAlgorithmBase
- StatisticsAlgorithm
- NeighborhoodSampler
Calculators
- CovarianceCalculator
- GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator
- MeanCalculator
- ScalarImageTextureCalculator
- WeightedCovarianceCalculator
- WeightedMeanCalculator
Generators
- ImageToHistogramGenerator
- ImageToListGenerator
- KdTreeGenerator
- ListSampleToHistogramGenerator
- MaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator
- MembershipSampleGenerator
- NormalVariateGenerator
- RandomVariateGeneratorBase
- ScalarImageToGreyLevelCooccurrenceMatrixGenerator
- ScalarImageToHistogramGenerator
- SelectiveSubsampleGenerator
- WeightedCentroidKdTreeGenerator
Filters
- HistogramToEntropyImageFilter
- HistogramToImageFilter
- HistogramToIntensityImageFilter
- HistogramToLogProbabilityImageFilter
- HistogramToProbabilityImageFilter
- ListSampleToHistogramFilter
- SampleMeanShiftBlurringFilter
- SampleMeanShiftClusteringFilter
- SampleSelectiveMeanShiftBlurringFilter
- SampleToHistogramProjectionFilter
Multivariate Density Functions
- DensityFunction
- DistanceToCentroidMembershipFunction
- GaussianDensityFunction
- GoodnessOfFitFunctionBase
- GoodnessOfFitMixtureModelCostFunction
- LogLikelihoodGoodnessOfFitFunction
- MahalanobisDistanceMembershipFunction
- MembershipFunctionBase
Distance Metrics
- DistanceMetric
- EuclideanDistance
Components
- GaussianGoodnessOfFitComponent
- GaussianMixtureModelComponent
- GoodnessOfFitComponentBase
- MixtureModelComponentBase
Estimators
- ExpectationMaximizationMixtureModelEstimator
- KdTreeBasedKmeansEstimator
Class Diagrams
Measurement Containers
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Frequency Containers
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Process Objects
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Traits
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MeanShift
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Adaptors
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Univariate Distributions
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Algorithms
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Calculators
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Generators
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Filters
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Multivariate Density Functions
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